Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Mingzhe Jin"'
Autor:
Wataru Zaitsu, Mingzhe Jin
Publikováno v:
PLoS ONE, Vol 18, Iss 8, p e0288453 (2023)
In the first half of 2023, text-generative artificial intelligence (AI), including ChatGPT from OpenAI, has attracted considerable attention worldwide. In this study, first, we compared Japanese stylometric features of texts generated by ChatGPT, equ
Externí odkaz:
https://doaj.org/article/a80cde51786c47fa8e661103b5d734db
Autor:
Lu BAI, Qian CHEN, Yanqing LI, Fen WU, Mingzhe JIN, Yuhong CHEN, Xu TENG, Sheng JIN, Huanfang FAN, Yuming WU
Publikováno v:
Physiological Research; Oct2024, Vol. 73 Issue 5, p779-789, 11p
Publikováno v:
Journal of Materials Chemistry A. 11:9057-9065
A green and energy-efficient strategy to recrystallize industrial spent LiFePO4 into a functional material that is comparable with commercial new LiFePO4.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0a3f11cb8eeffcf7679056166e2e58a5
https://doi.org/10.1039/d3ta00655g
https://doi.org/10.1039/d3ta00655g
Autor:
Wanwan Zheng, Mingzhe Jin
Publikováno v:
Digital Scholarship in the Humanities. 38:875-890
Word length refers to a feature that is extracted from texts and used to characterize authorial style; it was quantitatively demonstrated by Mendenhall (Mendenhall, T. C., 1887, The characteristics curves of composition. Science, IX: 237–49). Many
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ded96975c6ae6be46bf79d1ee469977
https://doi.org/10.1093/llc/fqac067
https://doi.org/10.1093/llc/fqac067
Autor:
Wanwan Zheng, Mingzhe Jin
Text analysis has been attracting increasing attention in this data era. Selecting effective features from datasets is a particular important part in text classification studies. Feature selection excludes irrelevant features from the classification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f6e60ff7da6131eaee60a9dd9c483f3
Publikováno v:
Journal of Materials Engineering and Performance.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5db449b39041c0916e901dfa9089d8a3
https://doi.org/10.1007/s11665-022-07611-9
https://doi.org/10.1007/s11665-022-07611-9
Publikováno v:
同志社大学ハリス理化学研究報告 = The Harris science review of Doshisha University. 62(3):149-156
最大情報系数係数(MIC)は非線形相関関係も計測可能な相関係数として2011年に提案され、多くの人工データにおける有効性が示されている。しかし、実データにおけるその有効性に関する
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::6629e5ae90f9708234970c576b013210
http://id.nii.ac.jp/1707/00028589/
http://id.nii.ac.jp/1707/00028589/
Autor:
Mingzhe Jin, Guangwei Li
Publikováno v:
Joho Chishiki Gakkaishi. 31:371-383
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d79e3e5f097d355857a0ae6ea8615557
https://doi.org/10.2964/jsik_2021_019
https://doi.org/10.2964/jsik_2021_019
Autor:
Piao, Jian, Mingzhe, Jin
Publikováno v:
同志社大学ハリス理化学研究報告 = The Harris science review of Doshisha University. 62(2):111-116
畳み込みニューラルネットワーク(Convolutional neural network, CNN)モデルは、既存の方法と比べ分類性能が優れており、画像分類における深層学習のベースになっている。CNNモデルの正解率(Accu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=jairo_______::dc386ddfb2586e0e209f3465550b69e8
http://id.nii.ac.jp/1707/00028384/
http://id.nii.ac.jp/1707/00028384/
Autor:
Xueqin Liu, Mingzhe Jin
Publikováno v:
Digital Scholarship in the Humanities. 37:168-184
This research aims to investigate the peculiarity of the postwar works of Koji Uno, a prominent Japanese littérateur, through a quantitative comparative analysis with his contemporaries. Uno’s writing career was twice subjected to interruption, fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b5933fabd5b70a23f20741a08480466
https://doi.org/10.1093/llc/fqab029
https://doi.org/10.1093/llc/fqab029